使用Hadoop、Spark等運行批處理作業時,可以選擇對象存儲OSS作為存儲。本文以Spark為例,演示如何上傳文件到OSS中,并在Spark中進行訪問。
準備數據并上傳到OSS
在Spark應用中讀取OSS數據
開發應用。
SparkConf conf = new SparkConf().setAppName(WordCount.class.getSimpleName()); JavaRDD<String> lines = sc.textFile("oss://test***-hust/test.txt", 250); ... wordsCountResult.saveAsTextFile("oss://test***-hust/test-result"); sc.close();
在應用中配置OSS信息。
說明請根據實際替換OSS endpoint、AccessKey ID和AccessKey Secret。
方式一:使用靜態配置文件
修改core-site.xml,然后將其放入到應用項目的resources目錄下。
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. See accompanying LICENSE file. --> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- OSS配置 --> <property> <name>fs.oss.impl</name> <value>org.apache.hadoop.fs.aliyun.oss.AliyunOSSFileSystem</value> </property> <property> <name>fs.oss.endpoint</name> <value>oss-cn-hangzhou-internal.aliyuncs.com</value> </property> <property> <name>fs.oss.accessKeyId</name> <value>{your AccessKey ID}</value> </property> <property> <name>fs.oss.accessKeySecret</name> <value>{your AccessKey Secret}</value> </property> <property> <name>fs.oss.buffer.dir</name> <value>/tmp/oss</value> </property> <property> <name>fs.oss.connection.secure.enabled</name> <value>false</value> </property> <property> <name>fs.oss.connection.maximum</name> <value>2048</value> </property> </configuration>
方式二:提交應用時進行動態設置
以Spark為例,在提交應用時進行設置,示例如下:
hadoopConf: # OSS "fs.oss.impl": "org.apache.hadoop.fs.aliyun.oss.AliyunOSSFileSystem" "fs.oss.endpoint": "oss-cn-hangzhou-internal.aliyuncs.com" "fs.oss.accessKeyId": "your AccessKey ID" "fs.oss.accessKeySecret": "your AccessKey Secret"
打包JAR文件。
打包的JAR文件中需包含所有依賴。應用的pom.xml如下:
1<?xml version="1.0" encoding="UTF-8"?> 2<project xmlns="http://maven.apache.org/POM/4.0.0" 3 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 4 xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> 5 <modelVersion>4.0.0</modelVersion> 6 7 <groupId>com.aliyun.liumi.spark</groupId> 8 <artifactId>SparkExampleJava</artifactId> 9 <version>1.0-SNAPSHOT</version> 10 11 <dependencies> 12 <dependency> 13 <groupId>org.apache.spark</groupId> 14 <artifactId>spark-core_2.12</artifactId> 15 <version>2.4.3</version> 16 </dependency> 17 18 <dependency> 19 <groupId>com.aliyun.dfs</groupId> 20 <artifactId>aliyun-sdk-dfs</artifactId> 21 <version>1.0.3</version> 22 </dependency> 23 24 </dependencies> 25 26 <build> 27 <plugins> 28 <plugin> 29 <groupId>org.apache.maven.plugins</groupId> 30 <artifactId>maven-assembly-plugin</artifactId> 31 <version>2.6</version> 32 <configuration> 33 <appendAssemblyId>false</appendAssemblyId> 34 <descriptorRefs> 35 <descriptorRef>jar-with-dependencies</descriptorRef> 36 </descriptorRefs> 37 <archive> 38 <manifest> 39 <mainClass>com.aliyun.liumi.spark.example.WordCount</mainClass> 40 </manifest> 41 </archive> 42 </configuration> 43 <executions> 44 <execution> 45 <id>make-assembly</id> 46 <phase>package</phase> 47 <goals> 48 <goal>assembly</goal> 49 </goals> 50 </execution> 51 </executions> 52 </plugin> 53 </plugins> 54 </build> 55</project>
編寫Dockerfile。
# spark base image FROM registry.cn-beijing.aliyuncs.com/eci_open/spark:2.4.4 RUN rm $SPARK_HOME/jars/kubernetes-client-*.jar ADD https://repo1.maven.org/maven2/io/fabric8/kubernetes-client/4.4.2/kubernetes-client-4.4.2.jar $SPARK_HOME/jars RUN mkdir -p /opt/spark/jars COPY SparkExampleJava-1.0-SNAPSHOT.jar /opt/spark/jars # OSS 依賴JAR COPY aliyun-sdk-oss-3.4.1.jar /opt/spark/jars COPY hadoop-aliyun-2.7.3.2.6.1.0-129.jar /opt/spark/jars COPY jdom-1.1.jar /opt/spark/jars
說明OSS依賴JAR的下載地址請參見通過HDP 2.6 Hadoop讀取和寫入OSS數據。
構建應用鏡像。
docker build -t registry.cn-beijing.aliyuncs.com/liumi/spark:2.4.4-example -f Dockerfile .
將鏡像推送到阿里云ACR。
docker push registry.cn-beijing.aliyuncs.com/liumi/spark:2.4.4-example
完成上述操作,即準備好Spark應用鏡像后,可以使用該鏡像在Kubernetes集群中部署Spark應用。
文檔內容是否對您有幫助?